Philippines vs Vietnam

Philippines vs Vietnam: Tropical nights

Tropical nights in 2014: 331.5 nights in Philippines and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 88.9 nights, or 1.37 times that in Vietnam.

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nights a year · CMIP6

Philippines vs Vietnam: Tropical nightsTropical nights in 2014: 331.5 nights in Philippines and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 88.9 nights, or 1.37 times that in Vietnam.
PhilippinesVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Philippines has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Philippines at 351.3 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearPhilippinesVietnam
2014331.5242.6
2013330.9243.6
2012331.1242.4
2011329.8241.9
2010330.6240.9
2009329240
2008327.5238.7
2007327.8238
2006328.7239.1
2005329.7238.3
2004329.4241.8
2003327.1235.9
2002328.9236.3
2001327.8241.3
2000326.8237
1999327.5236
1998326.5236.8
1997325.4237.1
1996324.6231.4
1995324.2229.9
1994321.5231.2
1993319.5225.3
1992318.4221.9
1991324.1229.8
1990323.5233.1
1989322.5229.2
1988324231.7
1987323.1230.3
1986322.1230.9
1985321.4228
1984321.7230.2
1983319.4224.9
1982320.5227.5
1981320.4229.7
1980322.7228.1
1979321.2228.9
1978320.6227.5
1977319.8229
1976319.6225.8
1975319.6225.8
1974320225.7
1973319.4230.3
1972318.9225.6
1971318.8225.5
1970319226.1
1969318.7227
1968317.2227.1
1967317.4222.9
1966318.8226.8
1965317.2225.4
1964314.9222.6
1963317.2224.3
1962318.6227.8
1961319.3229.4
1960318.6228.5
1959320.5226.2
1958321.8230.9
1957319.4228.4
1956320228.7
1955319.3227.5
1954317.7226.3
1953320228.2
1952319228.5
1951319.8229.2
1950320.4228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPhilippinesVietnam
2015333319.8–339.5245.8228.2–261.9
2016334.2322.8–340.7243.7226.1–259.4
2017333.4319.7–339.8247229.6–260.7
2018333.2320.1–340.1248.3228.8–263.3
2019334.1323.4–341.2248.1229.2–262.8
2020334.6322.6–341.8248.8229.6–262.9
2021335.6323.3–341.1251.1233.1–266.7
2022335.7323.3–342.1252.4234.3–266.8
2023336.7324.8–343.2253.4235.4–266.6
2024337.2325.7–343.9251.3236.7–264.6
2025336.3326.2–342.8252.4234.1–266.2
2026336.5322.9–343252.8232.9–268.5
2027336.2325.7–342.3253.2237–268.8
2028337.1325.5–343.8254.3237.7–272
2029338.1327.2–344.6258.1238.5–273.7
2030337.7326.2–344.4256.4240.9–270.1
2031337.1325.6–343.8255.9241.2–270.9
2032339.4329.5–346.1257.4239.1–269.9
2033339.7329.6–345.5258.3241.7–273.2
2034338.8328.8–345258.8240.7–275.8
2035338.6327.5–346.4258.6242.5–275.4
2036339.6327.8–346.9258.3239.1–273.8
2037339.8329.1–345.5258.7242.4–272.4
2038341.9330.7–347.7263.4247.6–277.3
2039341.2330.4–346.9260.2243.7–275.9
2040340.4328.1–347.6260.1242.8–274.8
2041341.1329.1–346.7263.1245.9–279
2042342331.4–347.7263.6246.5–279
2043341.3329–348.1261.4245.5–279.6
2044342.8329.9–349.8263.2245.2–277.6
2045343.4333.8–348.7265.5249.6–281.4
2046342.7330.2–348.7264.9246.8–278.1
2047343.2331.7–350.6266.9250.4–282.9
2048343.3332.7–350.6268250.5–283.8
2049343.2332.5–349.5267.8251.2–284.8
2050344.3332.6–349.9268251.2–283.5
2051344.4334.9–350.8270.9254.3–285.4
2052344.1333.5–350.9268.3253.3–282.8
2053344.3333.6–350.3268.5250.1–283.2
2054343.4332–349.9269.1250.8–283.6
2055344.3334.4–350.5270249.8–284.2
2056345334.6–352.6271.7254.8–290.1
2057345.5335.1–351.5270253–285.7
2058345.8334.3–351.3270.7252.9–286.5
2059345.5333.7–351.6273257.6–286.6
2060346.8335.5–353.5275.7255.6–290.6
2061345.9335–351.8273.5254.6–289.5
2062346335.2–353.5271.4253.1–290.2
2063346.6336.2–352.8272.9252.7–288.1
2064346.9335.3–353273.8254.4–288.1
2065346.1335.9–351.9272255.8–286.3
2066346.5335.4–352.4271.8254.4–287.3
2067346.1335.4–352270.8252.1–287.6
2068347.1335.1–354.1275.6256.9–292.4
2069347333.8–353.6276.4258.5–292
2070346.7336.1–352.7274.6257.8–292.8
2071347.6336.2–353.9276.2255.2–294.1
2072347334.4–353.8277256.8–291.4
2073348.4336.7–355278.5262.7–293.4
2074348.6337–354.9277.6259.2–295.8
2075347.9337.2–354276.4258.7–294.4
2076348.4337–355.1279.2258.5–296.6
2077348.7337–354.8280264.9–294.7
2078348.4338.2–354.7278.4258.6–295.5
2079348.8337.6–354.7279.3263.4–293.6
2080349.1338.4–355.9280261.4–296.5
2081348.8336.9–355.1280.4261.2–297.9
2082349.6338–354.9280.9258.9–296
2083349.9337.9–356.1278.4261.6–295
2084349.5336.7–356.4279257.4–293.8
2085349.1338.2–355.4281.3265–297.8
2086349.4337.5–354.9282.3260.2–297.5
2087349.7338.7–356281.9261.3–300.7
2088349.9338.9–356.1283.1265.7–301.5
2089350.2339.8–355.2280.8261.2–301.6
2090350.1339.7–355.9280.5264.5–297.6
2091349.5339.5–356.3283.3264.3–298.9
2092350.5339.3–356.1281.1261.5–299.4
2093350.4337.9–356.5280.5263.4–296.1
2094350.5338.4–355.9283264.5–300
2095350.5338.3–355.7285.5264.5–302.9
2096351.1339–358281.8264.8–299.8
2097350.2339.3–355.6281.5263.3–299
2098350.3337.4–355.2282.5263.9–301.5
2099350.6339.3–356.4282.7265.1–298
2100351.3340.2–356.3282.7261–298.2

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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